Credit Card Approval Detection & Prediction
Supervised classification pipeline predicting approval outcomes from applicant and credit-history features.
Three-plus years across data science and machine learning, now leading quality for a US-based client's AI training and annotation programmes. I build the benchmarks that keep highly skilled taskers accurate, consistent and on target.
01 — Profile
I work at the intersection of machine learning and operational quality. Day to day that means monitoring highly skilled taskers across AI training and annotation projects, and leaning on systematic quality benchmarks I built myself to identify the performance gaps that need attention.
My background in data architecture and financial modelling means I treat trainer output the way I treat a dataset: measurable, auditable and improvable. The result is a team whose quality holds up under scale and whose metrics map directly onto commercial targets.
02 — Expertise
Onboarding, pre-qualifying and mentoring skilled taskers across complex annotation and model-training programmes.
Self-built systematic quality frameworks and weekly audits that surface performance gaps before they reach the client.
Aligning weekly, monthly and quarterly tasker targets with commercial goals through transparent metrics.
Designing analytics infrastructure and standardised data-quality initiatives for accurate, timely reporting.
Forecasting and predictive models in Python, from feature preparation through to stakeholder-ready insight.
Building the frameworks, mentoring rhythms and communication standards distributed trainer teams run on.
03 — Experience
Remote-Wise · San Diego, California
Skyworth Capital Limited · Nairobi, Kenya
Iftin Express Limited · Nairobi, Kenya
Platinum Cloud Consulting · Texas, USA (Remote)
Platinum Cloud Consulting · Texas, USA (Remote)
Social Media Research Lab (SIMElab) Africa · Nairobi, Kenya
04 — Platforms
Handshake AI's Fellowship connects verified students, graduates and domain experts with leading AI labs to train and improve large language models. As the account lead I pre-qualify, onboard and mentor taskers on project-based LLM work delivered to frontier-model clients.
Stellar AI is a project-based AI training and evaluation platform focused on data annotation, model evaluation and quality assurance rather than high-volume microtasking. I manage tasker quality and align weekly output with the platform's delivery and quality standards.
05 — Projects
Supervised classification pipeline predicting approval outcomes from applicant and credit-history features.
Time-series analysis and forecasting system for currency pair movement and market signal detection.
Modelling global case and impact data to expose regional trends and projected trajectories.
NLP classifier flagging misinformation in social posts using text features and labelled training data.
06 — Credentials
United States International University, Nairobi
Jan 2017 — Sept 2021 · Software Engineering concentration
IBM
Feb 2022
IBM
Dec 2021
Cisco
Aug 2018
Total Rehab Centre, Nairobi
May 2020 — Aug 2020 · Fundraising team supervision
07 — Contact
Available for AI training, annotation quality and data operations roles. References available on request.
Nairobi, Kenya · Working with US-based teams